Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

Machine learning for smart agriculture and precision farming: towards making the fields talk

TA Shaikh, WA Mir, T Rasool, S Sofi - Archives of Computational Methods …, 2022 - Springer
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades

S Condran, M Bewong, MZ Islam, L Maphosa… - IEEE …, 2022 - ieeexplore.ieee.org
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

The path to smart farming: Innovations and opportunities in precision agriculture

E Karunathilake, AT Le, S Heo, YS Chung, S Mansoor - Agriculture, 2023 - mdpi.com
Precision agriculture employs cutting-edge technologies to increase agricultural productivity
while reducing adverse impacts on the environment. Precision agriculture is a farming …

Artificial intelligence in agriculture: a review

R Sharma - 2021 5th international conference on intelligent …, 2021 - ieeexplore.ieee.org
The United Nations Food and Agriculture Organization asserts that the whole world's
population would rise by an additional 2 billion in 2050, whereas at that time, the increased …

Smart farming prediction models for precision agriculture: a comprehensive survey

DK Kwaghtyo, CI Eke - Artificial Intelligence Review, 2023 - Springer
Considering the variability of the farming resources such as soil, fertilizer and weather
conditions including crops. Proper utilization of these resources for high yield is paramount …

IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends

S Qazi, BA Khawaja, QU Farooq - Ieee Access, 2022 - ieeexplore.ieee.org
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

Artificial intelligence in agriculture: benefits, challenges, and trends

RC Oliveira, RDS Silva - Applied Sciences, 2023 - mdpi.com
The world's population has reached 8 billion and is projected to reach 9.7 billion by 2050,
increasing the demand for food production. Artificial intelligence (AI) technologies that …

Internet-of-Things (IoT)-based smart agriculture: Toward making the fields talk

M Ayaz, M Ammad-Uddin, Z Sharif, A Mansour… - IEEE …, 2019 - ieeexplore.ieee.org
Despite the perception people may have regarding the agricultural process, the reality is that
today's agriculture industry is data-centered, precise, and smarter than ever. The rapid …

E-agriculture in action: drones for agriculture

G Sylvester - 2018 - sidalc.net
The FAO-ITU E-agriculture strategy guide (available at http://www. fao. org/3/a-i5564e. pdf)
is actively being used to assist countries in the successful identification, development and …